Pax Trax
Main difficulties in Airports today are the inexorable rise in passengers and resulting congestion. The oxymoron, is that it`s becoming more difficult to simplify the passenger journey, optimise resources, and maximise NAR in sync.
Airport Terminals strive to become resource optimised processing boxes, but to make that work and improve pax UX, requires ever increasing intelligence and data insight to support sophisticated operational decisions.
Pax Trax provide the answers you didn’t know existed to your most valuable commercial and operational questions. We capture and analyse “difficult to get” information, because getting more of the same data isn’t going to solve it.


Real Time Queue Management
The Challenge
Simple binary reporting of average queue times and poor performance SLA breach’s, is not what good looks like. It’s changed. It’s had to. Now it’s about trying to lessen the number of variable outcomes; good, is managing a consistent and efficient optimised security processing box, matching staff resource to demand slot peaks improving pax UX and NAR and hopefully, in sync.
Capacity Forecasting, Flow Management
and Resource Optimisation
The Challenge
The disconnect between what’s forecast and what really happens is because historical data is a poor indicator of future events; compounded by weak statistical analysis and “shallow data sets” are insufficient to make confident decisions.
Confidence in capacity and passenger flow forecasts start strong, but confidence evaporates when it plays out in the terminal. With fixed assets and staff rotas the only “flex” in the terminal is a lengthening queue time. With a baked in the cake xxx pax per hour processing rate per channel you rely on a constant uniform pax flow even in demand slot peaks.


Experiment Suite & Data Science
An Experiment Suite takes the guesswork out of large scale implementations by allowing you to plan structured experiments throughout the Airport to test hypotheses and theories in a scientific way. The experiment suite allows you to run a series of scenarios to establish whether a better ROI could have been delivered.
RCT’s. Random Control Tests
Even good decisions can be plagued by angst over the alternative not taken.
Asynchronous data capture
We have uniquely perfected an asynchronous data capture system which sync`s and merges data (automatically) between say a passenger’s smart device and i.e. an ABCR gate or epos till. This process unlocks value from previously un measurable data insights.
We can significantly exceed and infill your gaps in purchasing behaviour and spending by passengers once airside. This cascade of previously unobtainable data unlocks opportunities to improve UX and NAR. No longer rely on historical WDF epos data, average dwell time and guess work.


F+B spend analysis by flight
The missing jigsaw piece in measuring NAR is attributing F&B spend to individual flights. Unlike WDF sales, airports cannot apportion spend to individual pax as there is no way of knowing end destination, there is no “identifier”. Our system uses the common denominator (smart device) to which we attach some of the flight details at the ABCR gates.

Life Time Value (LTV) Modelling
LTV Modelling measures the “value” to the airport of individual passenger group clusters. The “value” is the complete sum of all the important data inputs that affect the passenger`s journey and goes way beyond the typically narrow sub set available to airports.
The LTV model measures and ranks entirely new data sets that were previously unobtainable challenging deeply held anecdotal beliefs or observational data that somehow are indelibly ingrained into airports understanding.
The model has many inputs including loyalty (to the airport), not based upon spurious “satisfaction” mkt research (unreliable), but considering the true catchment area of your current passengers.
Smart Trax for Security
Cyber Security
Network traffic control
and Software defined network
We address two classes of cyber-security problem.
Firstly, autonomous devices that form part of the Internet of things may never have their software updated, leaving them increasingly vulnerable to attack as new exploits for them are found. They commonly have a long and mostly unmonitored service life to further increase that risk and are already widely used unnoticed by their owners in DDoS attacks. Such devices typically have few or no threat management features built in and are very unlikely to have such protection retrofitted.
Secondly, the traditional methods of securing computer equipment of all kinds are evidently not sufficient. This is partly because they respond to threats rather than pre-empt them, so new exploits will always have some time to work. Our objective is to add a new method of threat management that is light on human effort, heavy on automation, and attempts to mitigate even unknown threats. It is independent of existing cyber-security solutions, complementing rather than replacing them.


Human Presence Detection HPD
Brexit, Points Based Immigration System, COVID – 19, Global Warming, it’s only going one way. Human presence detection is the new technology revealing those not wanting to be seen. Never has the cost economics of prevention been higher or the numbers of people and traffickers trying to reach these shores illegally.
To protect borders from illegal immigrants, people smuggling and human trafficking we have developed a disrupter for the unseen. Concealment in lorries and metal shipping containers can out stretch current detection technique capabilities; it also requires the vehicle to be stationary.
We can scan moving vehicles for human presence and indicating the approximate location(s) of illegal immigrants in seconds. This is a multi tiered system blending HPD and Mobile phone detection as a secondary indicator of presence. HPD relies upon the distortion of low energy electromagnetic radiation and detecting a human “signature” presence which is unique even when concealment techniques such as silver foil, deep hiding between pallets of goods, chilled temperature and metal sided vehicles are deployed.
Information gathering
and security
Intelligent location analytics – remote sensor capability.
Our sensors capture data by sniffing the air for data packets released by smart devices. Not reliant on an app or Wi-Fi, and undetectable, we can scan both 2.4 + 5.0 GHz wave band simultaneously capturing virtually all data traffic. Sensor can be left or transported by drone to a remote location and left outside in all weathers {IP65]– capturing data for a week in a 150 mtr radius.
Research:
White Papers
Case Studies
Clients and Industry
Collaborators